Doctoral Thesis / Dissertation from the year 2019 in the subject Computer Science - Internet, New Technologies, language: English, abstract: Continuous advancement in software field and widespread use of software products many innovative applications have emerged, cloud computing is one of them. In cloud computing users need not to install software they just log in the cloud and pay for their required service. As many users are frequently using cloud computing a big question arises here is the security of user's personal ...
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Doctoral Thesis / Dissertation from the year 2019 in the subject Computer Science - Internet, New Technologies, language: English, abstract: Continuous advancement in software field and widespread use of software products many innovative applications have emerged, cloud computing is one of them. In cloud computing users need not to install software they just log in the cloud and pay for their required service. As many users are frequently using cloud computing a big question arises here is the security of user's personal data present at cloud. Therefore, we need to safeguard the data in the midst of untrusted processes. On keeping these issues in mind, a security model is designed in this thesis. The whole model is divided into three sections: one is data encryption, second is secure data storage and the third one is maintenance of data integrity. In first section before uploading the file on cloud, file is encrypted by RSA Partial Homomorphic algorithm. Two keys public and private are generated after encryption. Between these two keys public key is known to all but private key is known to only authorize users. In second section, the data owner uploads the encrypted file moreover with this one access permission list containing names of authorized user and their respective permission. In this model two access permissions (Read Only and Read and Write) are defined by the data owner. In third section the cloud provider calculates hash value of uploaded file using MD5 hash algorithm. This hash value is transferred back to the data owner to use it for verification purpose. As Owner performs verification, hash value of the desired data present at cloud is again calculated. Now this new hash value matches with old hash value which is present at owner end. If it matches no modification is performed, if hash value does not match then some modifications has been performed on the uploaded data. After uploading the file on cloud this file is visible to all users. They can
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New. Trade paperback (US). Glued binding. 120 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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Fine. Trade paperback (US). Glued binding. 120 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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Add this copy of Cloud Computing. Strategies for Improving the to cart. £107.92, like new condition, Sold by GreatBookPricesUK5 rated 4.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2020 by Grin Verlag.
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Fine. Trade paperback (US). Glued binding. 120 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
